On Fri, May 24, 2019 at 10:20 AM Rory McCann <r...@technomancy.org> wrote:
> Isn't this a case of using the wrong t̶o̶o̶l̶ community for the task?
> The mailing list are for discussion. We have help.openstreetmap.org for
> Q&A, and the wiki for documentation. "The ML makes a poor documentation"
> well yes of course it does?
>
> Did someone point you to the tagging ML to answer beginner questions? I
> agree that's not a good suggestion.
We've already identified resource discoverability as an issue. I was a
beginner, and we don't really make it easy for a beginner to find out
whom to ask. "Tag discussion, strategy and related tools" seemed a
place where such a question would be on topic. I already mentioned
that I'd read the Wiki. I also have extensive prior experience in how
Wikis work, so also read the talk page and consulted Overpass to get a
feel for whether the Wiki article reflected actual practice. From the
contentious talk page and the fact that I found no examples in about a
100-km radius of where I was mapping, I arrived at the wrong
conclusion about the acceptance of the tag.

In any case, I think the experience that the tagging ML was the wrong
tool for that job is a key observation. The presents and tagging
recommendations in iD are essentially the aggregation of answers to a
great many beginner questions - it is, after all, supposed to be an
entry-level tool. Just as that single question didn't elicit a
relevant answer, a large number of similar questions, in the
aggregate, are likely not to get relevant answers. Just as the tagging
ML is unfit for the purpose of answering a single beginner question,
it's unfit for the broader purpose of answering many such questions
_en masse._ It doesn't have to be characterized as 'toxic' or
'hostile,' simply 'irrelevant to the task at hand.'  iD's
recommendations should reflect broadly accepted current practice, and
this mailing list is not a good place to discover what that is.

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